CN102567960A - Image enhancing method for security inspection system - Google Patents
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Abstract
The invention discloses an image reinforcing method for a security inspection system. The method comprises the steps of: (A) rebuilding and displaying an initial radiation image on a basis of initial data obtained from a detector of the security inspection system; (B) selecting a target area in the displayed initial radiation image; and (C) enhancing the contrast ratio of the selected target area and displaying the enhanced image. With use of the method for partially enhancing the radiation image disclosed by the invention, an operator can partially enhance the contrast ratio of a suspicious area conveniently to highlight the detailed information of an interesting area, so that display effect of the image can be improved.
Description
Technical field
The present invention relates to the image processing techniques in the radiant image field, particularly, it relates to a kind of method that the human body safety inspection system strengthens radiation image that is used for.More particularly, it relates to a kind of image processing method that strengthens through the part of the operation of suspicious region in the radiation image being realized to radiation image.
Background technology
The human body safety inspection system utilizes radiation source, and x-ray bombardment human body for example is to confirm the inside and outside safety check system that whether keeps dangerous material, drugs and contraband goods of human body.Because of it can check in body surface and the body simultaneously; Can effectively give prominence to the demonstration of explosive, drugs and other contraband goods; Image is directly perceived, is convenient to operating personnel's judgement and identification, is widely used in airport, customs, prison, special mining site, border check point and other security sensitive place.
Yet X ray is as a kind of electromagnetic wave, and its absorptive rate of radiation is high, and it can bring potential harm to the person under inspection to a certain extent when penetrating soft tissues such as human body skin, muscle.Therefore; In practical application, X ray human body safety inspection system must reduce X ray single inspection dosage, its radiation limitations at the acceptable floor level; Reduce the X ray safety inspection as far as possible to the potential hazard that the person under inspection brings, guarantee that person under inspection and staff's is healthy.
The reduction of X-ray examination dosage will inevitably cause image definition that radiation becomes, decrease of contrast, is difficult to the detailed information in the recognition image, and then directly influences image and declare the effect of knowledge and the efficient of safety check work, even can bring great potential safety hazard.
Therefore, be necessary to provide a kind of method that radiation image in the safety check system is strengthened, it can distinguish the details part of the suspicious part in the above-mentioned image effectively, declares the effect of knowledge and the efficient of safety check work thereby improve image.
Summary of the invention
The object of the invention is intended to solve the problems referred to above of existing in the prior art and at least one aspect of defective.
Correspondingly, one of the object of the invention is to provide a kind of method of the radiation image in the human body security system being carried out local enhancing.
One of another object of the present invention is to provide the disposal route of the radiation image in a kind of human body safety inspection system; It can guarantee the dosage of radiation ray is reduced to acceptable level; Still the details part of the suspicious part in the above-mentioned image be can distinguish effectively, the effect of knowledge and the efficient of safety check work declared thereby improve image.
An also purpose of the present invention is to provide the disposal route of the radiation image in a kind of human body safety inspection system, and it can improve the correctness of in the human body safety inspection system details part of the suspicious part in the image being discerned.
According to an aspect of the present invention, it provides a kind of image enchancing method that is used for safety check system, comprises step: the raw data that (A) obtains based on the detector from safety check system is rebuild and demonstration prompt radiation image; (B) a selected target area in the said prompt radiation image that shows; And (C) to said selected target area degree of comparing enhancing, and show the image after strengthening.
Preferably, in said step (A) before, comprise that also the raw image data that said detector is obtained carries out pretreated step.
Particularly, said pre-treatment step comprises the inconsistency of detector is carried out the adjustment of data and/or the detector defective is carried out the adjustment of data.
Preferably, in said step (A) before and after the said pre-treatment step, also comprise the step that the whole degree of comparing to the image after the said pre-service strengthen in advance.
Further, the preparatory enhancing step of said contrast comprises: a kind of or its combination during details enhancing, edge enhancing or pseudo-3D strengthen.
In technique scheme, the step in said selected target zone comprises: confirming to show the suspicious points in the prompt radiation image, is the size that the target area delimited at the center with said suspicious points then.
Preferably, with said suspicious points be a kind of in rectangle, square and the circle of being shaped as of the target area delimited, center.
Further, in technique scheme, also comprise the big or small step of the said selected target area of adjustment.In technique scheme, when the size of the position change of said suspicious points and target area changed, the enhancing image after said target area degree of comparing strengthens showed in real time.
Particularly, said selected target area degree of comparing is strengthened comprise that histogram equalization is handled, a kind of in blocked histogram equilibrium treatment and the greyscale transformation.
Particularly, said histogram equalization is handled and is comprised step: (a) gray scale of the image pixel in the selected target zone is added up, obtain the histogram of its intensity profile; And, carry out the histogram equalization algorithm of standard (b) to the image pixel in the selected target zone, obtain the gray-scale value after the conversion.
In technique scheme; In said step (a) before; Also comprise the step that the image pixel in the said target area is filtered; Wherein, when carrying out gray-scale statistical, do not consider this pixel, it is not carried out histogram equalization yet and handle when a certain gray values of pixel points in the said target area during greater than a certain threshold value.
In technique scheme; Said details enhancement process comprises carries out following operation to each pixel in the said image: confirm that (a1) intended pixel in the said image is human region or background area in the position of human body; If wherein this pixel is positioned at the background area, then do not handle; If this pixel is positioned at human region, then handle as follows; (b1) image is carried out piecemeal, the piece that belongs to said intended pixel is that four bulks are confirmed at the center; (c1) confirm that said four bulks are home block, edge block or background piece; If said bulk is a home block, then adopt the mode of histogram equalization to obtain the mapping gray-scale value of this grey scale pixel value; If said bulk is edge block or background piece, then adopt the mode of linear stretch to obtain the mapping gray-scale value of this grey scale pixel value; (d1) four gray-scale values to obtaining in the step (c1) adopt bilinear interpolation method to obtain the final gray-scale value of said intended pixel.
Particularly, be in the step (a1) of human region or background area at definite intended pixel in the position of human body, if its gray-scale value greater than a predetermined threshold, then determines that it is the background area; Otherwise, then determine that it is human region.
The step (b1) of preferably, image being carried out piecemeal confirms that after obtaining image intended pixel is the completion in advance before of human region or background area step (a1) in the position of human body image.
Particularly, in technique scheme, the step of the inconsistency of detector being carried out the adjustment of data comprises: the background data A that obtains probe access
Zero(i); Obtain the air data A of probe access
Full(i); Data g when obtaining probe access human body being scanned (i, j); Through following formula obtain detector correction data f (i, j),
Wherein, GMAX is the maximum gray scale that image can be represented, i is a probe access, and j is sampling instant, a, and b is configurable constant, is used for the grey level range of control chart picture.
In technique scheme, the data of detector defective are proofreaied and correct comprise: confirm the bad track in the probe access; Obtain the data of n normal channel of the said bad track of next-door neighbour; Through the data of a weighted mean said n normal channel, with as said bad track data at a time m sampling instant.
Further, the step of the bad track in said definite probe access comprises: the air data that obtains each probe access; Obtain the mean value of the air data of all passages; The air data and the above-mentioned mean value of each probe access are compared,, confirm that then passage i is a normal channel if the air data of passage i drops in the belt-like zone with this average out to center; Otherwise confirm that passage i is a bad track.In the step that detector is proofreaied and correct, preferably m is the positive integer more than or equal to 3, and n is the positive integer more than or equal to 2.Further, in above-mentioned weighting step, the distance of bad track data point and normal channel data point is big more, and its weighting weight is more little.
Above-mentioned at least one aspect of the present invention has following advantage or beneficial technical effects:
Through adopting technique scheme of the present invention, it can make the staff easily suspicious region carried out the local contrast enhancing, highlights the detailed information of area-of-interest, improves image display effect.Like this, guaranteeing under the healthy and safe prerequisite of person under inspection and staff, making X ray human body safety check equipment can clearly show in the human body body and the tissue signature of body surface suspicious region, making things convenient for the staff to declare knowledge.
The present invention is owing to adopted above-mentioned technical scheme; Through freely selecting, for example, the suspicious region degree of comparing in the image is strengthened through mouse-click and slide; And can regulate the degree that contrast strengthens simply; Highlight the detailed information of suspicious region, improved the display effect of image, made things convenient for the declare knowledge of operating personnel image.
Description of drawings
Below in conjunction with accompanying drawing and concrete embodiment the present invention is done further description, wherein:
Fig. 1 is for showing the job step process flow diagram according to the image enchancing method in the safety check system in the embodiment of the present invention;
Fig. 2 is the synoptic diagram that shows according to the detector defect correction method in a kind of embodiment of the present invention;
Fig. 3 is the synoptic diagram that shows according to the human body safety inspection radiation image in a kind of embodiment of the present invention; And
Fig. 4 shows according in a kind of embodiment of the present invention radiation image being carried out the synoptic diagram that details strengthens.
Embodiment
Pass through embodiment below, and combine accompanying drawing, do further bright specifically technical scheme of the present invention.In instructions, same or analogous drawing reference numeral is indicated same or analogous parts.Following explanation to embodiment of the present invention is intended to present general inventive concept of the present invention is made an explanation with reference to accompanying drawing, and is not to be understood that to a kind of restriction of the present invention.
Below in conjunction with accompanying drawing 1-4, the image enchancing method that is used for safety check system according to the present invention is described.Referring to Fig. 1, it provides a kind of image enchancing method that is used for safety check system, comprises step: the raw data that (A) obtains based on the detector from safety check system is rebuild and demonstration prompt radiation image; (B) a selected target area in the prompt radiation image that shows; And (C) to selected target area degree of comparing enhancing, and show the image after strengthening.The inventive method is X ray human body safety inspection system diagram to be looked like to carry out suspicious region strengthen, and its concrete preferred workflow is as shown in Figure 1.
At step S101, start human body safety radiation examination device.Usually, human body safety radiation examination device comprises radiation source, for example X-ray machine; The collimating apparatus that X ray from X-ray machine is collimated; And detector, after the X ray after wherein collimating through collimating apparatus penetrates human body, receive by detector.The image about the body mass density information can rebuild and show to raw data based on obtaining from detector, thereby confirm inside and outside dangerous material, drugs and the contraband goods of whether keeping of human body.
In a kind of optimal way, consider the inconsistency of each probe access of detector itself, and probe access possibly produce damage in some cases, need carry out certain correction to the data that detector itself obtains thus.Particularly, at step S102, gather the radiation source in the human body safety inspection equipment, the background data A when for example X-ray machine does not go out to restraint
Zero(i); Gather and to go out bundle in the human body safety inspection equipment but do not have the person under inspection, the air data A when for example being examined human body
Full(i); Gather when going out to restraint in the human body safety inspection equipment and exist under person under inspection's situation somatic data as current data g (i, j), wherein i is a probe access, j is sampling instant.
At step S103, somatic data is carried out pre-service according to background data and air data.Particularly, pre-treatment step comprises the inconsistency of detector is carried out the adjustment of data and/or is that bad track in the detector carries out the adjustment of data to the detector defective.In step S103, the step of the inconsistency of detector being carried out the adjustment of data comprises: the background data A that obtains probe access
Zero(i); Obtain the air data A of probe access
Full(i); Data g when obtaining probe access human body being scanned (i, j); Through following formula obtain detector correction data f (i, j),
Wherein, GMAX is the maximum gray scale that image can be represented, i is a probe access, and j is sampling instant, a, and b is configurable constant, is used for the grey level range of control chart picture.Through the aforementioned calculation formula, eliminated the inconsistency of each probe access, thereby improved the accuracy of data radiometric response.
Below, carry out brief description with reference to 2 pairs in accompanying drawing according in the specific embodiment of the invention data of detector defective being carried out method of correcting.Referring to Fig. 2, whether the passage in the first process decision chart 2 in the detector is bad track, particularly, confirms that whether a certain passage k of detector is that the step of bad track comprises: the air data A that obtains each probe access in the detector
Full(i); Obtain the mean value of the air data of all passages of detector; With each probe access, the air data A of passage k for example
Full(k) comparing with above-mentioned mean value, is a predetermined belt-like zone at center if the air data of passage k drops on this mean value, in the scope for example ± 15%, confirms that then passage k is a normal channel; Otherwise confirm that passage k is a bad track.
A certain passage in confirming detector, after for example passage k was bad track, then further (k x) proofreaied and correct as follows: obtain the data of the n row normal channel of next-door neighbour's bad track k m sampling instant in the data of sampling instant x to this bad track k; Through the above-mentioned m of weighted mean capable with the n column data, with as the data of bad track k at sampling instant x, wherein m is the positive integer more than or equal to 3, n is the positive integer more than or equal to 2.
Further; Referring to Fig. 2; In above-mentioned weighting step, bad track data point (dash area among Fig. 2 is the data point of a continuous n+1 bad track at sampling instant x-1, x, x+1) is big more with the distance of normal data points (A, B, C, D, E, F), and its weighting weight is more little.For example, in Fig. 2, (k, x) (k, x) with the distance of normal data E, then when the data of the above-mentioned data D of weighted mean and data E, the weight setting of data D one-tenth is smaller than the weight of data E than bad track data with the distance of normal data D for the bad track data.
Then, preferably, before and after the pre-treatment step, comprise that also the whole degree of comparing to the image after the pre-service strengthen in advance, be presented at the step S104 on the screen then in step (A).The preparatory enhancing step of this contrast comprises: a kind of or its combination during details enhancing, edge enhancing or pseudo-3D strengthen.To pseudo-3D enhancement techniques and edge enhancing technique, it is handled and other extensively employings of image processing field quilt at this radiation image, and its concrete disposal route is introduced no longer in detail.
Below in conjunction with accompanying drawing 3-4 the basic process of details enhancement process is briefly introduced as follows:
Referring to Fig. 3; The details enhancement process comprises image; For example each pixel is carried out following operation in the human body image 10: (a1) confirm the intended pixel in the image 10, for example the pixel P in the block of pixels 5 is human region 11 or background area 12 in the position of this human body image 10 among Fig. 4; Particularly, be in the step (a1) of human region 11 or background area 12 at definite intended pixel P in the position of human body image, if its gray-scale value greater than a predetermined threshold, then determines that it is background area 12; Otherwise, then determine that it is human region 11.If this pixel is positioned at the background area, then do not handle; If this pixel is positioned at human region, then carries out following steps and handle.(b1) image 10 is carried out piecemeal, the piece 5 that belongs to intended pixel P is that four bulks are confirmed at the center, for example pixel bulk (1,2,4,5) among Fig. 4; (2,3,5,6); (4,5,7,8) and (5,6,8,9); (c1) confirm that four bulks are home block 13, edge block 14 or background piece 15; If bulk is a home block 13, then adopt the mode of histogram equalization to obtain the mapping gray-scale value of this grey scale pixel value; If bulk is edge block 14 or background piece 15, then adopt the mode of linear stretch to obtain the mapping gray-scale value of this grey scale pixel value; (d1) four gray-scale values to obtaining in the step (c1) adopt bilinear interpolation method to obtain the final gray-scale value of intended pixel P.Though, in technique scheme, confirming that the position of intended pixel P in human body image carry out like the piecemeal among Fig. 4 image 10 after being human region 11 or background area 12, the present invention is not limited to this.The step (b1) of for example, image 10 being carried out piecemeal can confirm after obtaining image that intended pixel P be the completion in advance before of human region 11 or background area 12 steps (a1) in the position of human body.
Next; In step S105; When the staff finds to exist in the image suspicious region, and this area image contrast is less, when being difficult to identification, it can be through strengthening suspicious region as the selected target zone degree of comparing in the image; Obtaining satisfied display effect, thereby pick out suspicious object or violated object 16 in the image 10.
Particularly, the step in selected target zone comprises: confirming to show the suspicious points in the prompt radiation image, is the size that the target area delimited at the center then with the suspicious points.In step S106, the operator can operate the position that suspicious region is confirmed in time target position through click, and forms the selected target zone according to the suspicious region size that software is given among the step S107.Preferably, with the suspicious points be a kind of in rectangle, square and the circle of being shaped as of the target area delimited, center.
Then, in step S108, the image degree of comparing in the selected target zone is strengthened, and the extra-regional image of selected target is unaffected.In step S108, for example, the method that the image degree of comparing in the selected target zone is strengthened can be histogram equalization.Specifically, (a) gray scale of the image pixel in the selected target zone is added up, obtain the histogram of its intensity profile; And, carry out the histogram equalization algorithm of standard (b) to the image pixel in the selected target zone, obtain the gray-scale value after the conversion.
For avoiding comprising the background area in the selected target zone; In step (a) before; Also comprise the step that the image pixel in the target area is filtered; Wherein, when carrying out gray-scale statistical, do not consider this pixel, it is not carried out histogram equalization yet and handle when a certain gray values of pixel points in the target area during greater than a certain threshold value.
For realizing the adjusting of contrast in various degree (step S109), can in step S110, regulate the regional size of selected target, and then the image degree of comparing in the selected target zone strengthened at step S108 through the rolling operation of mouse roller.Step S109, S110, S108 can repeat, and obtain satisfied display effect.Preferably; In the process of above-mentioned adjustment selected target area size; When the size of the position change of suspicious points and target area changes; Enhancing image after target area degree of comparing strengthens shows in real time, thus help that the operator finds in real time and definite image in suspicious points.
When having a plurality of suspicious region in the image 10, above-mentioned steps S106-S110 can repeat, and is investigated one by one up to suspicious region to finish, and image is declared the knowledge process and finished (step S111).
In addition, though above-mentioned contrast enhancement process to selected target zone is a histogram equalization, it is not limited in this.When considering the selected target area size, can adopt image processing techniquess such as greyscale transformation, blocked histogram equilibrium to the influencing of histogram equalization effect.
Though in above-mentioned embodiment of the present invention, system describes the present invention in conjunction with human body safety inspection, the present invention is not limited to this, and it also can be applied in the radiation safety check system of non-human body.
Though some embodiment of this present general inventive concept are shown and explain; Those skilled in the art will appreciate that; Under the situation of principle that does not deviate from this present general inventive concept and spirit, can make a change these embodiment, scope of the present invention limits with claim and their equivalent.
Claims (20)
1. image enchancing method that is used for safety check system comprises step:
(A) raw data that obtains based on the detector from safety check system is rebuild and demonstration prompt radiation image;
(B) a selected target area in the said prompt radiation image that shows; And
(C) said selected target area degree of comparing is strengthened, and show the image after strengthening.
2. the image enchancing method that is used for safety check system according to claim 1 is characterized in that:
In said step (A) before, comprise that also the raw data that said detector is obtained carries out pretreated step.
3. the image enchancing method that is used for safety check system according to claim 2, wherein said pre-treatment step comprise the inconsistency of detector are carried out the adjustment of data and/or the detector defective is carried out the adjustment of data.
4. according to claim 2 or the 3 described image enchancing methods that are used for safety check system, it is characterized in that:
In said step (A) before and after the said pre-treatment step, also comprise the step that the whole degree of comparing to the image after the said pre-service strengthen in advance.
5. the image enchancing method that is used for safety check system according to claim 4 is characterized in that the preparatory enhancing step of said contrast comprises: a kind of or its combination during details enhancing, edge enhancing or pseudo-3D strengthen.
6. the image enchancing method that is used for safety check system according to claim 1 is characterized in that the step in said selected target zone comprises:
Confirming the suspicious points in the prompt radiation image, is the size that the target area delimited at the center with said suspicious points then.
7. the image enchancing method that is used for safety check system according to claim 6 is characterized in that:
With said suspicious points is a kind of in rectangle, square and the circle of being shaped as of the target area delimited, center.
8. the image enchancing method that is used for safety check system according to claim 7 is characterized in that also comprising:
Adjust the big or small step of said selected target area.
9. the image enchancing method that is used for safety check system according to claim 8 is characterized in that:
When the size of the position change of said suspicious points and target area changed, the enhancing image after said target area degree of comparing strengthens showed in real time.
10. the image enchancing method that is used for safety check system according to claim 1 is characterized in that:
Said selected target area degree of comparing strengthened comprise that histogram equalization is handled, a kind of in blocked histogram equilibrium treatment and the greyscale transformation.
11. the image enchancing method that is used for safety check system according to claim 10 is characterized in that said histogram equalization processing comprises step:
(a) gray scale of the image pixel in the selected target zone is added up, obtain the histogram of its intensity profile; And
(b) to the image pixel in the selected target zone, carry out the histogram equalization algorithm of standard, obtain the gray-scale value after the conversion.
12. the image enchancing method that is used for safety check system according to claim 11 is characterized in that:
In said step (a) before; Also comprise the step that the image pixel in the said target area is filtered; Wherein, when carrying out gray-scale statistical, do not consider this pixel, it is not carried out histogram equalization yet and handle when a certain gray values of pixel points in the said target area during greater than a certain threshold value.
13. the image enchancing method that is used for safety check system according to claim 5 is characterized in that said details enhancement process comprises each pixel in the said image is carried out following operation:
(a1) confirm that the intended pixel in the said image is human region or background area in the position of human body,, then do not handle if wherein this pixel is positioned at the background area; If this pixel is positioned at human region, then handle as follows;
(b1) image is carried out piecemeal, the piece that belongs to said intended pixel is that four bulks are confirmed at the center;
(c1) confirm that said four bulks are home block, edge block or background piece;
If said bulk is a home block, then adopt the mode of histogram equalization to obtain the mapping gray-scale value of this grey scale pixel value; If said bulk is edge block or background piece, then adopt the mode of linear stretch to obtain the mapping gray-scale value of this grey scale pixel value;
(d1) four gray-scale values to obtaining in the step (c1) adopt bilinear interpolation method to obtain the final gray-scale value of said intended pixel.
14. the image enchancing method that is used for safety check system according to claim 13 is characterized in that:
Is in the step (a1) of human region or background area at definite intended pixel in the position of human body, if its gray-scale value greater than a predetermined threshold, then determines that it is the background area; Otherwise, then determine that it is human region.
15. the image enchancing method that is used for safety check system according to claim 14 is characterized in that:
Image is carried out the step (b1) of piecemeal and confirm that after obtaining image intended pixel is that human region or background area step (a1) are accomplished before in advance in the position of human body image.
16. the image enchancing method that is used for safety check system according to claim 3 is characterized in that the step of the inconsistency of detector being carried out the adjustment of data comprises:
Obtain the background data A of probe access
Zero(i);
Obtain the air data A of probe access
Full(i);
Data g when obtaining probe access human body being scanned (i, j);
Through following formula obtain detector correction data f (i, j),
Wherein GMAX is the maximum gray scale that image can be represented, i is a probe access, and j is sampling instant, a, and b is configurable constant, is used for the grey level range of control chart picture.
17. the image enchancing method that is used for safety check system according to claim 3 is characterized in that the step that the data of detector defective are proofreaied and correct is comprised:
Confirm the bad track in the probe access;
Obtain the data of n normal channel of the said bad track of next-door neighbour;
Through the data of a weighted mean said n normal channel, with as said bad track data at a time m sampling instant.
18. the image enchancing method that is used for safety check system according to claim 17 is characterized in that the step of the bad track in said definite probe access comprises:
Obtain the air data of each probe access;
Obtain the mean value of the air data of all passages;
The air data and the above-mentioned mean value of each probe access are compared,, confirm that then passage i is a normal channel if the air data of passage i drops in the belt-like zone with this average out to center; Otherwise confirm that passage i is a bad track.
19. the image enchancing method that is used for safety check system according to claim 18 is characterized in that wherein m is the positive integer more than or equal to 3, n is the positive integer more than or equal to 2.
20. the image enchancing method that is used for safety check system according to claim 18 is characterized in that:
In above-mentioned weighting step, the distance of bad track data point and normal channel data point is big more, and its weighting weight is more little.
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